{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:BZQVNLOMART3J5QUYOA4QIBMJP","short_pith_number":"pith:BZQVNLOM","schema_version":"1.0","canonical_sha256":"0e6156adcc0467b4f614c381c8202c4be4fcf3cfb726e387ae8f5c611dc1464d","source":{"kind":"arxiv","id":"2412.09946","version":1},"attestation_state":"computed","paper":{"title":"Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jiexin Xie, Nanyang Ye, Qiao Sun, Qinying Gu, Shijie Guo","submitted_at":"2024-12-13T08:10:56Z","abstract_excerpt":"This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction. We introduce a novel Chinese nursing dataset and implement incremental pre-training (IPT) and supervised fine-tuning (SFT) techniques to enhance LLM performance in specialized tasks. Using LangChain, we develop a dynamic nursing assistant capable of real-time care and personalized interventions. Experimental results demonstrate significant improvements, paving the way for AI-driven solutions to meet the growing demands of healthcare in aging"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.09946","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-13T08:10:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a97cb9414bd7d8e0fef0eb5785d0a021970b92b7666dfd530180ef1effe9111d","abstract_canon_sha256":"b524b0660761edd3df08eba0f17eb04c24a6414c4967f52ea8bb35f5bfc2214d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:48:44.262437Z","signature_b64":"ZFgYV0PXeTZ6TEvzYhSRBNSpGDyIiht6dVp7SKOmEES6hXHOqJQqj587b0TKP8k8WrTDZ8hsrILjH2uEH/f9Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0e6156adcc0467b4f614c381c8202c4be4fcf3cfb726e387ae8f5c611dc1464d","last_reissued_at":"2026-07-05T09:48:44.261853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:48:44.261853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Enhancing Nursing and Elderly Care with Large Language Models: An AI-Driven Framework","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Jiexin Xie, Nanyang Ye, Qiao Sun, Qinying Gu, Shijie Guo","submitted_at":"2024-12-13T08:10:56Z","abstract_excerpt":"This paper explores the application of large language models (LLMs) in nursing and elderly care, focusing on AI-driven patient monitoring and interaction. We introduce a novel Chinese nursing dataset and implement incremental pre-training (IPT) and supervised fine-tuning (SFT) techniques to enhance LLM performance in specialized tasks. Using LangChain, we develop a dynamic nursing assistant capable of real-time care and personalized interventions. Experimental results demonstrate significant improvements, paving the way for AI-driven solutions to meet the growing demands of healthcare in aging"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.09946","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.09946/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.09946","created_at":"2026-07-05T09:48:44.261915+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.09946v1","created_at":"2026-07-05T09:48:44.261915+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.09946","created_at":"2026-07-05T09:48:44.261915+00:00"},{"alias_kind":"pith_short_12","alias_value":"BZQVNLOMART3","created_at":"2026-07-05T09:48:44.261915+00:00"},{"alias_kind":"pith_short_16","alias_value":"BZQVNLOMART3J5QU","created_at":"2026-07-05T09:48:44.261915+00:00"},{"alias_kind":"pith_short_8","alias_value":"BZQVNLOM","created_at":"2026-07-05T09:48:44.261915+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP","json":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP.json","graph_json":"https://pith.science/api/pith-number/BZQVNLOMART3J5QUYOA4QIBMJP/graph.json","events_json":"https://pith.science/api/pith-number/BZQVNLOMART3J5QUYOA4QIBMJP/events.json","paper":"https://pith.science/paper/BZQVNLOM"},"agent_actions":{"view_html":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP","download_json":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP.json","view_paper":"https://pith.science/paper/BZQVNLOM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.09946&json=true","fetch_graph":"https://pith.science/api/pith-number/BZQVNLOMART3J5QUYOA4QIBMJP/graph.json","fetch_events":"https://pith.science/api/pith-number/BZQVNLOMART3J5QUYOA4QIBMJP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP/action/storage_attestation","attest_author":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP/action/author_attestation","sign_citation":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP/action/citation_signature","submit_replication":"https://pith.science/pith/BZQVNLOMART3J5QUYOA4QIBMJP/action/replication_record"}},"created_at":"2026-07-05T09:48:44.261915+00:00","updated_at":"2026-07-05T09:48:44.261915+00:00"}